LEAD PROJECT MANAGER

W2 CONTRACT - GC/USC

ST. PETERSBURG, FL - Hybrid

Local Candidates Only

Our client is advancing a new generation of AI-driven systems—secure, adaptive platforms that learn continuously to enhance decision-making and client outcomes. As a Lead Project Manager, you’ll oversee high-impact initiatives that bring these agentic AI capabilities to life across the firm. Must have managed AI projects previously.  The work is complex, fast-paced, and deeply rewarding—shaping the future of how intelligence flows and decisions are made enterprise-wide. You’ll partner with engineering, data science, and business leaders to drive delivery of AI platforms, frameworks, and products that transform how advisors and associates work. This is a leadership role for someone who thrives on solving difficult problems, managing ambiguity, and turning breakthrough ideas into scalable, production-grade solutions.

• Manage multiple enterprise-scale AI initiatives from concept through implementation—defining strategy, scope, and success metrics that align with firm objectives.

• Build and maintain detailed project plans, budgets, and work breakdown structures that balance speed, quality, and compliance.

• Partner across technology, data governance, and business units to ensure clear communication, accountability, and timely decision-making.

• Anticipate and mitigate delivery risks, manage dependencies, and ensure traceable governance for AI and automation initiatives.

• Collaborate with technical leads to translate technical milestones into actionable project deliverables.

• Drive best practices in agile delivery, metrics, and post-implementation evaluation to ensure ongoing learning and refinement.

Skills:

• Demonstrated success leading large, complex technology projects—preferably involving AI, analytics, or intelligent automation.

• Experience working through ambiguity to structure and manage work with accountability.

• Expertise in project and portfolio management including planning, forecasting, risk management, and stakeholder reporting.

• Strong understanding of software development lifecycles, agile delivery, and enterprise technology environments.

• Excellent communication, negotiation, and decision-making skills; capable of bridging business and technical domains.

• PMP or equivalent certification highly preferred.

• 5+ years of progressive experience in project or program management, with exposure to AI, data, or technology-driven transformation initiatives.